Evidence map›Paper›PMID 35530967›Full record

ArticleAnnals of translational medicine2022

Clinical efficacy and safety of surgery combined with 3D printing for tibial plateau fractures: systematic review and meta-analysis.

Yanwei He, Peng Zhou, Chengsong He

Abstract read
In one paragraph

Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Comparing the efficacy of 3D-printing-assisted surgery with traditional surgical treatment of fracture: an umbrella review.Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology · 2025
    Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yanwei HeDepartment of Orthopaedics, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Peng ZhouDepartment of Orthopaedics, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Chengsong HeDepartment of Rheumatology and Immunology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The aim of the present study was to systematically evaluate the application value and complications of 3D printing technology on Schatzker tibial platform fracture surgery. Methods: By searching the Cochrane Library, PubMed, Web of Science, Embase, Chinese Biomedical Literature Database (CBM), screening randomized controlled trials (RCTs), and two researchers included the study according to PICOS criteria and performed bias risk assessments. Quality evaluation and data extraction were performed for the included literatures, and meta-analysis was performed for RCTs included at using Review Manager 5.2 software. Results: A total of 15 articles were included in the present study, which included a total of 758 patients, 342 3D printing techniques, 416 conventional surgical procedures. Meta-analysis showed 3D printing operation time [risk difference (RD) =-0.12, 95% CI: -0.16, -0.08, I Discussion: 3D printing technology for tibia platform fracture surgery has advantages of reduced operation time, less surgical bleeding, less complications, less intraoperative perspective, fast fracture healing, and can improve the accuracy of tibial platform fracture reduction and postoperative knee function recovery.

Indexed as

3D printingmeta-analysisSurgical treatmenttibial plateau fracture

Identifiers

PMID35530967
PMCPMC9073782

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.